Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description인천광역시 중구 행정자료실에 보유한 도서 현황입니다.파일명 인천광역시 중구 행정자료실도서현황내용 도서명, 저자, 출판사 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3044171&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
번호 is highly overall correlated with 발행년도High correlation
발행년도 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:07:40.628632
Analysis finished2024-03-18 04:07:42.944388
Duration2.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13366.326
Minimum10
Maximum26590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T13:07:43.009789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile1410.95
Q16677.75
median13429.5
Q320030.5
95-th percentile25226.1
Maximum26590
Range26580
Interquartile range (IQR)13352.75

Descriptive statistics

Standard deviation7652.9923
Coefficient of variation (CV)0.57255765
Kurtosis-1.2022507
Mean13366.326
Median Absolute Deviation (MAD)6679
Skewness-0.014534249
Sum1.3366326 × 108
Variance58568291
MonotonicityNot monotonic
2024-03-18T13:07:43.125772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14435 1
 
< 0.1%
12452 1
 
< 0.1%
4715 1
 
< 0.1%
14193 1
 
< 0.1%
18662 1
 
< 0.1%
5075 1
 
< 0.1%
10830 1
 
< 0.1%
12708 1
 
< 0.1%
26384 1
 
< 0.1%
17757 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
10 1
< 0.1%
12 1
< 0.1%
16 1
< 0.1%
21 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
30 1
< 0.1%
37 1
< 0.1%
46 1
< 0.1%
51 1
< 0.1%
ValueCountFrequency (%)
26590 1
< 0.1%
26589 1
< 0.1%
26586 1
< 0.1%
26585 1
< 0.1%
26584 1
< 0.1%
26581 1
< 0.1%
26580 1
< 0.1%
26578 1
< 0.1%
26577 1
< 0.1%
26575 1
< 0.1%
Distinct9718
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-18T13:07:43.464868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length67
Mean length17.1384
Min length1

Characters and Unicode

Total characters171384
Distinct characters1739
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9478 ?
Unique (%)94.8%

Sample

1st row회의록. 제182회 : 중구의회
2nd row신의물방울. 7
3rd row엄마, 내 생각도 물어 줘!
4th row(市지정문화재)舊 일본제58은행지점 : 정밀실측조사 및 실측도서보고서
5th row리처드의달력
ValueCountFrequency (%)
3622
 
8.9%
관보 426
 
1.0%
구보 403
 
1.0%
1 386
 
0.9%
2 377
 
0.9%
장편소설 239
 
0.6%
이야기 175
 
0.4%
3 163
 
0.4%
위한 126
 
0.3%
4 109
 
0.3%
Other values (18613) 34873
85.3%
2024-03-18T13:07:43.887125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30979
 
18.1%
. 4083
 
2.4%
3107
 
1.8%
1 2914
 
1.7%
: 2659
 
1.6%
2379
 
1.4%
2 2305
 
1.3%
0 2065
 
1.2%
) 1825
 
1.1%
( 1823
 
1.1%
Other values (1729) 117245
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107401
62.7%
Space Separator 30979
 
18.1%
Decimal Number 13703
 
8.0%
Other Punctuation 8631
 
5.0%
Lowercase Letter 4448
 
2.6%
Close Punctuation 1865
 
1.1%
Open Punctuation 1863
 
1.1%
Uppercase Letter 1699
 
1.0%
Dash Punctuation 470
 
0.3%
Math Symbol 289
 
0.2%
Other values (7) 36
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3107
 
2.9%
2379
 
2.2%
1808
 
1.7%
1735
 
1.6%
1617
 
1.5%
1579
 
1.5%
1557
 
1.4%
1353
 
1.3%
1286
 
1.2%
1166
 
1.1%
Other values (1618) 89814
83.6%
Lowercase Letter
ValueCountFrequency (%)
e 598
13.4%
o 442
9.9%
a 347
 
7.8%
r 328
 
7.4%
i 315
 
7.1%
n 311
 
7.0%
t 283
 
6.4%
s 278
 
6.2%
l 236
 
5.3%
h 218
 
4.9%
Other values (16) 1092
24.6%
Uppercase Letter
ValueCountFrequency (%)
S 160
 
9.4%
T 148
 
8.7%
I 142
 
8.4%
E 136
 
8.0%
C 104
 
6.1%
O 92
 
5.4%
W 86
 
5.1%
D 77
 
4.5%
L 76
 
4.5%
A 75
 
4.4%
Other values (16) 603
35.5%
Other Punctuation
ValueCountFrequency (%)
. 4083
47.3%
: 2659
30.8%
, 974
 
11.3%
· 245
 
2.8%
! 241
 
2.8%
? 191
 
2.2%
' 71
 
0.8%
/ 71
 
0.8%
& 27
 
0.3%
; 17
 
0.2%
Other values (10) 52
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 2914
21.3%
2 2305
16.8%
0 2065
15.1%
9 1097
 
8.0%
3 1057
 
7.7%
6 1000
 
7.3%
5 907
 
6.6%
4 862
 
6.3%
7 795
 
5.8%
8 701
 
5.1%
Math Symbol
ValueCountFrequency (%)
= 188
65.1%
~ 74
 
25.6%
+ 12
 
4.2%
> 5
 
1.7%
< 5
 
1.7%
| 3
 
1.0%
1
 
0.3%
1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1825
97.9%
] 30
 
1.6%
9
 
0.5%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1823
97.9%
[ 30
 
1.6%
9
 
0.5%
1
 
0.1%
Letter Number
ValueCountFrequency (%)
11
45.8%
11
45.8%
2
 
8.3%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Other Number
ValueCountFrequency (%)
½ 1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
30979
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 470
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105823
61.7%
Common 57812
33.7%
Latin 6171
 
3.6%
Han 1578
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3107
 
2.9%
2379
 
2.2%
1808
 
1.7%
1735
 
1.6%
1617
 
1.5%
1579
 
1.5%
1557
 
1.5%
1353
 
1.3%
1286
 
1.2%
1166
 
1.1%
Other values (1170) 88236
83.4%
Han
ValueCountFrequency (%)
42
 
2.7%
41
 
2.6%
37
 
2.3%
35
 
2.2%
23
 
1.5%
22
 
1.4%
22
 
1.4%
20
 
1.3%
20
 
1.3%
20
 
1.3%
Other values (438) 1296
82.1%
Common
ValueCountFrequency (%)
30979
53.6%
. 4083
 
7.1%
1 2914
 
5.0%
: 2659
 
4.6%
2 2305
 
4.0%
0 2065
 
3.6%
) 1825
 
3.2%
( 1823
 
3.2%
9 1097
 
1.9%
3 1057
 
1.8%
Other values (46) 7005
 
12.1%
Latin
ValueCountFrequency (%)
e 598
 
9.7%
o 442
 
7.2%
a 347
 
5.6%
r 328
 
5.3%
i 315
 
5.1%
n 311
 
5.0%
t 283
 
4.6%
s 278
 
4.5%
l 236
 
3.8%
h 218
 
3.5%
Other values (45) 2815
45.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105809
61.7%
ASCII 63664
37.1%
CJK 1533
 
0.9%
None 282
 
0.2%
CJK Compat Ideographs 45
 
< 0.1%
Number Forms 24
 
< 0.1%
Compat Jamo 14
 
< 0.1%
Punctuation 9
 
< 0.1%
CJK Compat 1
 
< 0.1%
Math Operators 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30979
48.7%
. 4083
 
6.4%
1 2914
 
4.6%
: 2659
 
4.2%
2 2305
 
3.6%
0 2065
 
3.2%
) 1825
 
2.9%
( 1823
 
2.9%
9 1097
 
1.7%
3 1057
 
1.7%
Other values (80) 12857
20.2%
Hangul
ValueCountFrequency (%)
3107
 
2.9%
2379
 
2.2%
1808
 
1.7%
1735
 
1.6%
1617
 
1.5%
1579
 
1.5%
1557
 
1.5%
1353
 
1.3%
1286
 
1.2%
1166
 
1.1%
Other values (1166) 88222
83.4%
None
ValueCountFrequency (%)
· 245
86.9%
9
 
3.2%
9
 
3.2%
6
 
2.1%
5
 
1.8%
2
 
0.7%
2
 
0.7%
1
 
0.4%
½ 1
 
0.4%
1
 
0.4%
CJK
ValueCountFrequency (%)
42
 
2.7%
41
 
2.7%
37
 
2.4%
35
 
2.3%
23
 
1.5%
22
 
1.4%
22
 
1.4%
20
 
1.3%
20
 
1.3%
20
 
1.3%
Other values (416) 1251
81.6%
Number Forms
ValueCountFrequency (%)
11
45.8%
11
45.8%
2
 
8.3%
Compat Jamo
ValueCountFrequency (%)
10
71.4%
2
 
14.3%
1
 
7.1%
1
 
7.1%
CJK Compat Ideographs
ValueCountFrequency (%)
6
13.3%
5
 
11.1%
4
 
8.9%
4
 
8.9%
3
 
6.7%
2
 
4.4%
2
 
4.4%
2
 
4.4%
2
 
4.4%
2
 
4.4%
Other values (12) 13
28.9%
Punctuation
ValueCountFrequency (%)
3
33.3%
3
33.3%
3
33.3%
CJK Compat
ValueCountFrequency (%)
1
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct6845
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-18T13:07:44.181235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length89
Mean length11.222
Min length2

Characters and Unicode

Total characters112220
Distinct characters1222
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6002 ?
Unique (%)60.0%

Sample

1st row인천광역시 중구의회 [편]
2nd row글:TadashiAgi;그림:ShuOkimoto;역자:설은미
3rd row박경태 글;고광삼 그림
4th row仁川廣域市 [편]
5th row벤자민프랭클린;홍성민엮음
ValueCountFrequency (%)
2114
 
8.7%
옮김 1820
 
7.5%
그림 835
 
3.4%
인천광역시 732
 
3.0%
행정자치부 459
 
1.9%
중구 425
 
1.7%
356
 
1.5%
편저 189
 
0.8%
141
 
0.6%
글·그림 141
 
0.6%
Other values (9998) 17144
70.4%
2024-03-18T13:07:44.613514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16408
 
14.6%
; 4945
 
4.4%
3948
 
3.5%
[ 3092
 
2.8%
] 3092
 
2.8%
2732
 
2.4%
2354
 
2.1%
2328
 
2.1%
1723
 
1.5%
1584
 
1.4%
Other values (1212) 70014
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79143
70.5%
Space Separator 16408
 
14.6%
Other Punctuation 5897
 
5.3%
Open Punctuation 3100
 
2.8%
Close Punctuation 3100
 
2.8%
Lowercase Letter 2997
 
2.7%
Uppercase Letter 1410
 
1.3%
Decimal Number 120
 
0.1%
Dash Punctuation 30
 
< 0.1%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3948
 
5.0%
2732
 
3.5%
2354
 
3.0%
2328
 
2.9%
1723
 
2.2%
1584
 
2.0%
1542
 
1.9%
1376
 
1.7%
1346
 
1.7%
1292
 
1.6%
Other values (1130) 58918
74.4%
Lowercase Letter
ValueCountFrequency (%)
a 442
14.7%
i 341
11.4%
o 283
 
9.4%
e 250
 
8.3%
n 176
 
5.9%
r 175
 
5.8%
h 163
 
5.4%
u 158
 
5.3%
m 148
 
4.9%
s 126
 
4.2%
Other values (16) 735
24.5%
Uppercase Letter
ValueCountFrequency (%)
S 150
 
10.6%
A 124
 
8.8%
K 105
 
7.4%
M 92
 
6.5%
B 89
 
6.3%
T 84
 
6.0%
O 77
 
5.5%
D 65
 
4.6%
E 65
 
4.6%
I 63
 
4.5%
Other values (15) 496
35.2%
Other Punctuation
ValueCountFrequency (%)
; 4945
83.9%
. 393
 
6.7%
· 323
 
5.5%
: 123
 
2.1%
, 86
 
1.5%
& 11
 
0.2%
/ 7
 
0.1%
' 6
 
0.1%
! 2
 
< 0.1%
? 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 30
25.0%
2 19
15.8%
8 16
13.3%
5 16
13.3%
0 15
12.5%
3 9
 
7.5%
4 5
 
4.2%
6 4
 
3.3%
9 3
 
2.5%
7 3
 
2.5%
Open Punctuation
ValueCountFrequency (%)
[ 3092
99.7%
( 7
 
0.2%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 3092
99.7%
) 7
 
0.2%
1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 7
46.7%
> 7
46.7%
+ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
16408
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78173
69.7%
Common 28670
 
25.5%
Latin 4407
 
3.9%
Han 969
 
0.9%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3948
 
5.1%
2732
 
3.5%
2354
 
3.0%
2328
 
3.0%
1723
 
2.2%
1584
 
2.0%
1542
 
2.0%
1376
 
1.8%
1346
 
1.7%
1292
 
1.7%
Other values (832) 57948
74.1%
Han
ValueCountFrequency (%)
110
 
11.4%
24
 
2.5%
24
 
2.5%
22
 
2.3%
20
 
2.1%
19
 
2.0%
17
 
1.8%
16
 
1.7%
16
 
1.7%
14
 
1.4%
Other values (287) 687
70.9%
Latin
ValueCountFrequency (%)
a 442
 
10.0%
i 341
 
7.7%
o 283
 
6.4%
e 250
 
5.7%
n 176
 
4.0%
r 175
 
4.0%
h 163
 
3.7%
u 158
 
3.6%
S 150
 
3.4%
m 148
 
3.4%
Other values (41) 2121
48.1%
Common
ValueCountFrequency (%)
16408
57.2%
; 4945
 
17.2%
[ 3092
 
10.8%
] 3092
 
10.8%
. 393
 
1.4%
· 323
 
1.1%
: 123
 
0.4%
, 86
 
0.3%
1 30
 
0.1%
- 30
 
0.1%
Other values (21) 148
 
0.5%
Hiragana
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78167
69.7%
ASCII 32752
29.2%
CJK 927
 
0.8%
None 325
 
0.3%
CJK Compat Ideographs 42
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16408
50.1%
; 4945
 
15.1%
[ 3092
 
9.4%
] 3092
 
9.4%
a 442
 
1.3%
. 393
 
1.2%
i 341
 
1.0%
o 283
 
0.9%
e 250
 
0.8%
n 176
 
0.5%
Other values (69) 3330
 
10.2%
Hangul
ValueCountFrequency (%)
3948
 
5.1%
2732
 
3.5%
2354
 
3.0%
2328
 
3.0%
1723
 
2.2%
1584
 
2.0%
1542
 
2.0%
1376
 
1.8%
1346
 
1.7%
1292
 
1.7%
Other values (828) 57942
74.1%
None
ValueCountFrequency (%)
· 323
99.4%
1
 
0.3%
1
 
0.3%
CJK
ValueCountFrequency (%)
110
 
11.9%
24
 
2.6%
24
 
2.6%
20
 
2.2%
19
 
2.0%
17
 
1.8%
16
 
1.7%
16
 
1.7%
14
 
1.5%
14
 
1.5%
Other values (275) 653
70.4%
CJK Compat Ideographs
ValueCountFrequency (%)
22
52.4%
5
 
11.9%
4
 
9.5%
3
 
7.1%
1
 
2.4%
1
 
2.4%
1
 
2.4%
1
 
2.4%
1
 
2.4%
1
 
2.4%
Other values (2) 2
 
4.8%
Compat Jamo
ValueCountFrequency (%)
3
50.0%
1
 
16.7%
1
 
16.7%
1
 
16.7%
Hiragana
ValueCountFrequency (%)
1
100.0%
Distinct2678
Distinct (%)26.8%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-18T13:07:44.830412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length5.0618062
Min length1

Characters and Unicode

Total characters50613
Distinct characters823
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1537 ?
Unique (%)15.4%

Sample

1st row인천광역시 중구의회
2nd row학산문화사
3rd row시공주니어
4th row仁川廣域市
5th row바움
ValueCountFrequency (%)
인천광역시 703
 
6.5%
행정자치부 463
 
4.3%
중구 420
 
3.9%
인천발전연구원 154
 
1.4%
문학동네 123
 
1.1%
인천광역시중구 111
 
1.0%
김영사 96
 
0.9%
대원씨아이 95
 
0.9%
서울문화사 92
 
0.9%
창비 88
 
0.8%
Other values (2708) 8429
78.2%
2024-03-18T13:07:45.153104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1937
 
3.8%
1377
 
2.7%
1267
 
2.5%
1222
 
2.4%
1186
 
2.3%
1081
 
2.1%
1003
 
2.0%
973
 
1.9%
954
 
1.9%
904
 
1.8%
Other values (813) 38709
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47819
94.5%
Lowercase Letter 873
 
1.7%
Space Separator 777
 
1.5%
Uppercase Letter 607
 
1.2%
Decimal Number 228
 
0.5%
Other Punctuation 219
 
0.4%
Close Punctuation 39
 
0.1%
Open Punctuation 39
 
0.1%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1937
 
4.1%
1377
 
2.9%
1267
 
2.6%
1222
 
2.6%
1186
 
2.5%
1081
 
2.3%
1003
 
2.1%
973
 
2.0%
954
 
2.0%
904
 
1.9%
Other values (740) 35915
75.1%
Uppercase Letter
ValueCountFrequency (%)
B 112
18.5%
M 63
 
10.4%
S 53
 
8.7%
K 51
 
8.4%
O 30
 
4.9%
R 27
 
4.4%
H 26
 
4.3%
C 25
 
4.1%
E 24
 
4.0%
T 22
 
3.6%
Other values (16) 174
28.7%
Lowercase Letter
ValueCountFrequency (%)
o 169
19.4%
s 94
10.8%
e 84
9.6%
k 79
9.0%
i 76
8.7%
n 62
 
7.1%
a 57
 
6.5%
r 46
 
5.3%
b 46
 
5.3%
d 34
 
3.9%
Other values (13) 126
14.4%
Other Punctuation
ValueCountFrequency (%)
: 137
62.6%
& 34
 
15.5%
· 18
 
8.2%
; 10
 
4.6%
. 9
 
4.1%
, 5
 
2.3%
3
 
1.4%
! 2
 
0.9%
? 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 94
41.2%
2 86
37.7%
8 16
 
7.0%
5 14
 
6.1%
0 9
 
3.9%
6 3
 
1.3%
4 3
 
1.3%
3 2
 
0.9%
7 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
] 21
53.8%
) 18
46.2%
Open Punctuation
ValueCountFrequency (%)
[ 21
53.8%
( 18
46.2%
Space Separator
ValueCountFrequency (%)
777
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47108
93.1%
Latin 1480
 
2.9%
Common 1314
 
2.6%
Han 711
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1937
 
4.1%
1377
 
2.9%
1267
 
2.7%
1222
 
2.6%
1186
 
2.5%
1081
 
2.3%
1003
 
2.1%
973
 
2.1%
954
 
2.0%
904
 
1.9%
Other values (612) 35204
74.7%
Han
ValueCountFrequency (%)
77
 
10.8%
38
 
5.3%
28
 
3.9%
27
 
3.8%
27
 
3.8%
26
 
3.7%
19
 
2.7%
19
 
2.7%
19
 
2.7%
17
 
2.4%
Other values (118) 414
58.2%
Latin
ValueCountFrequency (%)
o 169
 
11.4%
B 112
 
7.6%
s 94
 
6.4%
e 84
 
5.7%
k 79
 
5.3%
i 76
 
5.1%
M 63
 
4.3%
n 62
 
4.2%
a 57
 
3.9%
S 53
 
3.6%
Other values (39) 631
42.6%
Common
ValueCountFrequency (%)
777
59.1%
: 137
 
10.4%
1 94
 
7.2%
2 86
 
6.5%
& 34
 
2.6%
] 21
 
1.6%
[ 21
 
1.6%
· 18
 
1.4%
) 18
 
1.4%
( 18
 
1.4%
Other values (14) 90
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47102
93.1%
ASCII 2773
 
5.5%
CJK 705
 
1.4%
None 21
 
< 0.1%
CJK Compat Ideographs 6
 
< 0.1%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1937
 
4.1%
1377
 
2.9%
1267
 
2.7%
1222
 
2.6%
1186
 
2.5%
1081
 
2.3%
1003
 
2.1%
973
 
2.1%
954
 
2.0%
904
 
1.9%
Other values (607) 35198
74.7%
ASCII
ValueCountFrequency (%)
777
28.0%
o 169
 
6.1%
: 137
 
4.9%
B 112
 
4.0%
1 94
 
3.4%
s 94
 
3.4%
2 86
 
3.1%
e 84
 
3.0%
k 79
 
2.8%
i 76
 
2.7%
Other values (61) 1065
38.4%
CJK
ValueCountFrequency (%)
77
 
10.9%
38
 
5.4%
28
 
4.0%
27
 
3.8%
27
 
3.8%
26
 
3.7%
19
 
2.7%
19
 
2.7%
19
 
2.7%
17
 
2.4%
Other values (113) 408
57.9%
None
ValueCountFrequency (%)
· 18
85.7%
3
 
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Compat Jamo
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

발행년도
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2008
1468 
2009
758 
2010
752 
2007
630 
2013
601 
Other values (42)
5791 

Length

Max length5
Median length4
Mean length4.0039
Min length4

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row2009
2nd row2007
3rd row2010
4th row2016
5th row2003

Common Values

ValueCountFrequency (%)
2008 1468
 
14.7%
2009 758
 
7.6%
2010 752
 
7.5%
2007 630
 
6.3%
2013 601
 
6.0%
2011 574
 
5.7%
2012 563
 
5.6%
1995 325
 
3.2%
2006 324
 
3.2%
1994 303
 
3.0%
Other values (37) 3702
37.0%

Length

2024-03-18T13:07:45.262528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2008 1468
 
14.7%
2009 758
 
7.6%
2010 752
 
7.5%
2007 630
 
6.3%
2013 601
 
6.0%
2011 574
 
5.7%
2012 563
 
5.6%
1995 325
 
3.2%
2006 324
 
3.2%
1994 303
 
3.0%
Other values (37) 3702
37.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2024-03-18T13:07:45.343893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:07:45.450266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T13:07:42.703103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:07:45.523795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.989
발행년도0.9891.000
2024-03-18T13:07:45.613235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.900
발행년도0.9001.000

Missing values

2024-03-18T13:07:42.805588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:07:42.896669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호도서명저자출판사발행년도데이터기준일자
1443414435회의록. 제182회 : 중구의회인천광역시 중구의회 [편]인천광역시 중구의회20092023-08-01
90399040신의물방울. 7글:TadashiAgi;그림:ShuOkimoto;역자:설은미학산문화사20072023-08-01
1606816069엄마, 내 생각도 물어 줘!박경태 글;고광삼 그림시공주니어20102023-08-01
2421424215(市지정문화재)舊 일본제58은행지점 : 정밀실측조사 및 실측도서보고서仁川廣域市 [편]仁川廣域市20162023-08-01
60886089리처드의달력벤자민프랭클린;홍성민엮음바움20032023-08-01
51885189도전과 창조, 희망의 4년 : 민선2기경기도정백서(1998.7-2002.6). 제2편경기도[편]경기도20022023-08-01
61306131당신이세상을바꾸는날 : 전세계를감동시킨12살소녀의'리우에서의전설의연설'세반스즈키글;이혜원옮김아이터출판사20032023-08-01
2646226463온천천 오리알 소동박미경 글;도원 그림현북스20212023-08-01
13421343현행 자치법규집. (II)기획감사실 [편]대구직할시중구19932023-08-01
1387813879사랑하고 또 사랑해콩세알 글;김현 그림애플비20092023-08-01
번호도서명저자출판사발행년도데이터기준일자
1188011881(세상에서 가장 쉬운)한글 2007김미영 저영진닷컴20082023-08-01
1654416545날마다 웃는 집법륜김영사20102023-08-01
1059910600인기강사 이보영과 함께하는 영어만화 : 피노키오카를로 콜로디 원작;가나 영어만화 기획팀 엮음;차성진;심규철 [공]그림가나출판사20082023-08-01
1191611917와인김용주민중출판사20082023-08-01
1618716188일주일 짝꿍 3-165김나연 글;오정택 그림웅진주니어20102023-08-01
1009210093열려라! 문박정선 기획·글;이수지 그림비룡소20082023-08-01
87368737관보. 16603행정자치부 [편]행정자치부20072023-08-01
1159611597(장미가족의 내맘대로)포토샵이영주;이정민 [공]길벗20082023-08-01
61806181(구청사(의회) 증축공사)사업규모 변경 타당성 조사. 2003-12한국정책평가연구원 [편]한국정책평가연구원20032023-08-01
1638116382회의록. 제188회Ⅱ : 중구의회인천광역시 중구의회 [편]인천광역시 중구의회20102023-08-01